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Review on Neural Network Based Approach Towards English Handwritten Alphanumeric Characters Recognition

S.U. Bohra1 , P.V. Ingole2

Section:Review Paper, Product Type: Journal Paper
Volume-1 , Issue-3 , Page no. 22-25, Nov-2013

Online published on Nov 30, 2013

Copyright © S.U. Bohra, P.V. Ingole . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S.U. Bohra, P.V. Ingole , “Review on Neural Network Based Approach Towards English Handwritten Alphanumeric Characters Recognition,” International Journal of Computer Sciences and Engineering, Vol.1, Issue.3, pp.22-25, 2013.

MLA Style Citation: S.U. Bohra, P.V. Ingole "Review on Neural Network Based Approach Towards English Handwritten Alphanumeric Characters Recognition." International Journal of Computer Sciences and Engineering 1.3 (2013): 22-25.

APA Style Citation: S.U. Bohra, P.V. Ingole , (2013). Review on Neural Network Based Approach Towards English Handwritten Alphanumeric Characters Recognition. International Journal of Computer Sciences and Engineering, 1(3), 22-25.

BibTex Style Citation:
@article{Bohra_2013,
author = {S.U. Bohra, P.V. Ingole },
title = {Review on Neural Network Based Approach Towards English Handwritten Alphanumeric Characters Recognition},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2013},
volume = {1},
Issue = {3},
month = {11},
year = {2013},
issn = {2347-2693},
pages = {22-25},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=20},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=20
TI - Review on Neural Network Based Approach Towards English Handwritten Alphanumeric Characters Recognition
T2 - International Journal of Computer Sciences and Engineering
AU - S.U. Bohra, P.V. Ingole
PY - 2013
DA - 2013/11/30
PB - IJCSE, Indore, INDIA
SP - 22-25
IS - 3
VL - 1
SN - 2347-2693
ER -

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Abstract

Handwritten Character recognition is one of the active and challenging areas of research in the intense field of Image Processing and Pattern recognition. It has large number of applications which includes, processing of bank cheques, reading aid for blind, conversion of any hand written document into digital form and many more. The main reason behind the activeness of the field are the challenges like the variation and distortion of handwritten characters, different style of writing and also the variety of scripts available across the entire world. This paper provides a brief review of the systems which implements various methodologies to recognize handwritten English characters.

Key-Words / Index Term

Character recognition, Image Processing, Pattern recognition, Handwritten Character Recognition

References

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